-
Article
Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19
An innovative ADE-TFT interpretable tourism demand forecasting model was proposed to address the issue of the insufficient interpretability of existing tourism demand forecasting. This model effectively optimi...
-
Article
Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19
This study proposes a novel interpretable framework to forecast the daily tourism volume of Jiuzhaigou Valley, Huangshan Mountain, and Siguniang Mountain in China under the impact of COVID-19 by using multivar...
-
Article
Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution
Accurate prediction of oil consumption plays a dominant role in oil supply chain management. However, because of the effects of the coronavirus disease 2019 (COVID-19) pandemic, oil consumption has exhibited a...
-
Article
Identification of RPGR ORF15 mutation for X-linked retinitis pigmentosa in a large Chinese family and in vitro correction with prime editor
X-linked retinitis pigmentosa (XLRP) is the most severe form of Retinitis Pigmentosa (RP) and one of the leading causes of blindness in the world. Currently, there is no effective treatment for RP. In the pres...
-
Article
Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network
The accurate forecasting of monthly tourism demand can improve tourism policies and planning. However, the complex nonlinear characteristics of monthly tourism demand complicate forecasting. This study propose...
